Variational Level Set Algorithm in Image Segmentation for Foetus Ultrasound Imaging System

Mei, Yeen Choong and May, Chin Seng and Aroland Kiring, and Yang, Soo Siang and Tze, Kenneth Kin Teo (2012) Variational Level Set Algorithm in Image Segmentation for Foetus Ultrasound Imaging System. International Journal of Simulation Systems, Science & Technology, 13 (3B). pp. 17-22. ISSN 1473-8031


Download (45kB) | Preview


Segmentation on ultrasound image is difficult when the image is not clear and contains unwanted noise. Since the object to be segmented out can be changing in shape for a period of time, there is a need to apply a computerised segmentation method for future analysis without any assumptions about the object’s topology is made. In general, when performing pregnancy ultrasound scanning, seeking a snapshot with best position or angle of the foetus is often a task done by obstetrician. This snapshot is useful for the obstetrician to locate the crown and the rump of the foetus for specific measurement. In this paper, a computerized segmentation using variational level set algorithm (VLSA) is proposed here. Results showed the variational level set contour evolved well on the low contrast and noise consisting ultrasound image.

Item Type: Article
Uncontrolled Keywords: image segmentation, level set algorithms, foetus ultrasound medical image
Subjects: R Medicine > R Medicine (General)
Divisions: SCHOOL > School of Engineering and Information Technology
Date Deposited: 18 Sep 2013 04:19
Last Modified: 11 Oct 2017 06:47

Actions (login required)

View Item View Item

Browse Repository
   UMS News
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository